448 citations · 457 across the 6 of their papers we have counts for
8 papers
Optimizing text representations to capture (dis)similarity between political parties
Tanise Ceron, Nico Blokker, Sebastian Padó
Even though fine-tuned neural language models have been pivotal in enabling "deep" automatic text analysis, optimizing text representations for specific applications remains a cruc…
Word-order typology in Multilingual BERT: A case study in subordinate-clause detection
Dmitry Nikolaev, Sebastian Padó
The capabilities and limitations of BERT and similar models are still unclear when it comes to learning syntactic abstractions, in particular across languages. In this paper, we us…
Meta Learning for Code Summarization
Moiz Rauf, Sebastian Padó, Michael Pradel
Source code summarization is the task of generating a high-level natural language description for a segment of programming language code. Current neural models for the task differ…
Emotion Ratings: How Intensity, Annotation Confidence and Agreements are Entangled
Enrica Troiano, Sebastian Padó, Roman Klinger
When humans judge the affective content of texts, they also implicitly assess the correctness of such judgment, that is, their confidence. We hypothesize that people's (in)confiden…
Dissecting Span Identification Tasks with Performance Prediction
Sean Papay, Roman Klinger, Sebastian Padó
Span identification (in short, span ID) tasks such as chunking, NER, or code-switching detection, ask models to identify and classify relevant spans in a text. Despite being a stap…
SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals
Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva +6
In response to the continuing research interest in computational semantic analysis, we have proposed a new task for SemEval-2010: multi-way classification of mutually exclusive sem…